05.10.25 09:00
Finished
2
:
1
(2:0, 0:1)

Goals

9'
1 : 0
La Spada G.
33'
2 : 0
La Spada G.
Micoli N.
2 : 1
59'
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Italy. Serie D - Group I", up to 10/05/2025
To build a prediction for the Milazzo - Athletic Palermo match, scheduled for 5 October 2025, several key factors could influence the outcome. Milazzo have played 5 matches, in which they won 1 of them, drew 3 times and lost 1 match. Athletic Palermo, having played 5 matches, won 2 times and drew 3 matches. In the league, Milazzo average 1 goals scored per game and 1 conceded. Athletic Palermo average 1.4 scored and 1 conceded.

Pre-Match Facts

Motivation

Milazzo - 6/10

Last match - 7 days ago, a draw as a clear underdog
Gelbison Cilento1.38
Draw3.92
Milazzo8.65
Next match - in 7 days, against a clear favourite
Vibonese1.67
Draw3.45
Milazzo4.775

Athletic Palermo - 5/10

Last match - 7 days ago, a win
Athletic Palermo–
Draw–
AS Acireale–
Next match - in 7 days, against a clear underdog
Athletic Palermo1.64
Draw3.88
Enna4.355

Summary

*Click on a table cell to see a tooltip
Matches
5
5
Wins
20% (1)
40% (2)
Draws
60% (3)
60% (3)
Defeats
20% (1)
0% (0)
Match Total (Avg.)
2
2.4
- Milazzo value is better
- Athletic Palermo value is better

Trends

*Click on a trend to see details
Win Or Draw
4 / 5
5 / 5
Draw Or Defeat
4 / 5
—
Both Teams To Score (Yes)
—
4 / 4

Streaks

*Matches in a row with a given outcome
Win Or Draw
2
5
Both Teams To Score (Yes)
1
4

Team outcomes

Milazzo
Athletic Palermo
H2H
Based on number of matches: 5
1 X 2
Wins
20% (1)
Draws
60% (3)
Defeats
20% (1)
Double Chance
Wins Or Draws
80% (4)
Wins Or Defeats
40% (2)
Draws Or Defeats
80% (4)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Milazzo - Athletic Palermo - score, tip, statistics

View the match score for Milazzo - Athletic Palermo. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics